Inventory Model for Instantaneously Deteriorating Items with Multiple Trade Facilities, Stock- and Price-Dependent Demand, and Full Backlogging by Rabeya Sarker, Md. Sharif Uddin, Md Abu Helal, Aminur Rahman Khan, Ali AlArjani, El-Awady Attia

“…This paper formulates six inventory models for products with instantaneous deterioration, focusing on the impacts of full and partial advance payment structures. The demand function depends on both price and stock levels and accounts for shortages through full backlogging. …”
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In the Refractory Hypertension “Labyrinth”. Focus on Primary Hyperaldosteronism by O. V. Tsygankova, T. I. Batluk, L. D. Latyntseva, E. V. Akhmerova, N. M. Akhmedzhanov

“…Primary hyperaldosteronism is an existence of a functional autonomous source with increased aldosterone production (full or partial) in relation to the renin-angiotensin system. …”
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adm: An R package for constructing abundance‐based species distribution models by Admir Cesar deOliveira Junior, Santiago José Elías Velazco

“…To date, adm provides 35 functions in three categories, (i) modelling: to tune, fit and validate models with nine different algorithms, with a suite of possible model‐specific hyperparameters; (ii) post‐modelling: to predict abundance across space and construct partial dependence plots to explore the relationships between abundance and environmental predictors; and (iii) miscellaneous tools: to support the workflow in all steps, including data handling, transformations and hyperparameter selection. …”
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Near-Infrared Spectroscopy Combined With Support Vector Machine Model to Realize Quality Control of Ginkgolide Production by Lei Liu, Jun Wang, Haiyi Bian, Ahmed N. Abdalla

“…This study addresses this concern by leveraging chemometric models, specifically partial least squares (PLS), support vector machine (SVM), and random forest, in conjunction with near-infrared spectroscopy (NIRS) data. …”
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Unbiased machine learning-assisted approach for conditional discretization of human performances by Thepparit Banditwattanawong, Masawee Masdisornchote

“…Currently, the only statistical method available for norm-referenced performance discretization is Z score, which merely addresses partial conditions. To achieve a fully conditionally norm-referenced performance discretization, this article proposes four novel approaches enlisting a multi-modal technique that incorporates unsupervised machine-learning algorithms and a heuristic method as well as a novel decision function ensuring conditional unbiasedness. …”
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Surgical treatment of massive rotator cuff tears (literature review) by D. V. Menshova

“…Despite the large number of methods for the treatment of massive rotator cuff tears, there are no clear algorithms for managing patients and choosing one or another surgical tactics. …”
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Advanced Ai Tools for Predicting Mechanical Properties of Self-Compacting Concrete by AGRAWAL Achal, CHANDAK Narayan

“…Partial mutual information for selection and establishment of the degree of association of variables was used to aid in better attainment of results obtained through predictive models. …”
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Beyond purchase patterns: harnessing predictive analytics to anticipate unarticulated consumer needs by Khaled Alshaketheep, Hind Al-Ahmed, Ahmad Mansour

“…The results underscore the importance of integrating human-centered design with algorithmic precision to translate predictive insights into actionable business value.…”
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Secret sharing in a special linear group by V. I. Yanchevskiĭ, I. A. Havarushka, G. V. Matveev

“…A rigorous mathematical justification is given for the correctness of the algorithms for generating partial secrets and restoring the main secret in the special linear group over the ring of integers. …”
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Acute Appendicitis Remains a Great Mimicker – The Pitfalls in the Differential Diagnosis and Tactics - A Case Report by Georgi Popivanov, Marina Konaktchieva, Vladimir Vasilev, Kirien Kjossev, Marin Penkov, Dimitar Penchev

“…All emergency surgeons should also be familiar with the scenario of unexpected findings at laparotomy, especially with the management of CD and the algorithms for treatment of appendiceal malignancies. …”
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New sizes of complete (k, 4)-arcs in PG(2,17) by Zainab Shehab Hamed

“…               In this paper, the packing problem for complete (  4)-arcs in  is partially solved. The minimum and the maximum sizes of complete (  4)-arcs in  are obtained. …”
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Semi-Supervised Fuzzy Clustering with Feature Discrimination. by Longlong Li, Jonathan M Garibaldi, Dongjian He, Meili Wang

“…Semi-supervised clustering algorithms are increasingly employed for discovering hidden structure in data with partially labelled patterns. …”
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Inverse Fuzzy-Directed Graph With an Application in Traffic Flow Problem by R. Keerthana, S. Venkatesh, R. U. Gobithaasan, Jamal Salah

“…Also, the necessary and sufficient conditions for strongly connected, partially semiconnected, and weakly connected IFDGS have been proven. …”
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Automated Implementation of the Edinburgh Visual Gait Score (EVGS) by Ishaasamyuktha Somasundaram, Albert Tu, Ramiro Olleac, Natalie Baddour, Edward D. Lemaire

“…Unlike past methods dependent on controlled environments or simulated videos, the proposed approach integrates pose estimation with new algorithms to handle operational challenges present in the dataset, such as minor camera movement during sagittal recordings, slight zoom variations in coronal views, and partial visibility (e.g., missing head) in some videos. …”
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A Weighted Two-Level Bregman Method with Dictionary Updating for Nonconvex MR Image Reconstruction by Qiegen Liu, Xi Peng, Jianbo Liu, Dingcheng Yang, Dong Liang

“…In this work, two efficient numerical algorithms which are unified by the method named weighted two-level Bregman method with dictionary updating (WTBMDU) are proposed for solving lp optimization under the dictionary learning model and subjecting the fidelity to the partial measurements. …”
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Research on Spaceborne Neural Network Accelerator and Its Fault Tolerance Design by Yingzhao Shao, Junyi Wang, Xiaodong Han, Yunsong Li, Yaolin Li, Zhanpeng Tao

“…To meet the high-reliability requirements of real-time on-orbit tasks, this paper proposes a fault-tolerant reinforcement design method for spaceborne intelligent processing algorithms based on convolutional neural networks (CNNs). …”
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Multi-Class Classification Methods for EEG Signals of Lower-Limb Rehabilitation Movements by Shuangling Ma, Zijie Situ, Xiaobo Peng, Zhangyang Li, Ying Huang

“…This study focuses on rehabilitation training scenarios, aiming to capture the motor intentions of patients with partial or complete motor impairments (such as stroke survivors) and provide feedforward control commands for exoskeletons. …”
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Charting a course: Exploring computational thinking skills in statistics content among junior high school students by Astuti Astuti, Evi Suryawati, Elfis Suanto, Putri Yuanita, Eddy Noviana

“…The results reveal significant differences based on cognitive ability: (a) students with high cognitive abilities demonstrate mastery of CT skills across all four indicators when solving statistical problems; (b) students with moderate abilities show partial competence, excelling in decomposition and abstraction but struggling with pattern recognition and algorithmic thinking; (c) students with low abilities achieve limited success, excelling in decomposition but facing challenges with the other CT skills. …”
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Rapid detection of drug abuse via tear analysis using surface enhanced Raman spectroscopy and machine learning by Yingbin Wang, Yulong Huang, Xiaobao Liu, Chishan Kang, Wenjie Wu

“…To enable rapid analysis of complex SERS data, three ML algorithms—linear discriminant analysis (LDA), partial least squares discriminant analysis (PLS-DA), and random forest (RF)—were employed. …”
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Data-driven modeling of the Yld2000 yield criterion and its efficient application in numerical simulation by Xiaomin Zhang, Jianzhong Mao, Zhi Cheng

“…In contrast, other algorithmic models exhibited certain deficiencies in either convergence behavior or computational efficiency.…”
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